Abstract:

The materials presented at the Conference describe the results of recent years in the following areas: Open access to scientific data and knowledge in Earth Sciences; Data peculiarities in Earth Sciences: new concepts and methods, tools for their collection, integration and processing in different information systems, including systems with intensive use of data; Data mining and mathematical simulation of natural processes in Earth Sciences. Evolution of classical GIS-applications in Earth Sciences; Application to Critical Raw Materials (CRM); social aspects of mining (e.g., the Social Licence to Operate [SLO]); predictive mapping and applications to exploration, landuse and search for extensions of known deposits; Intelligent data analysis, elicitation of facts and knowledge from scientific publications. Thesauruses, ontologies and conceptual modeling. Semantic WEB, linked data. Services. Content semantic structuring. Applications for geosciences, e.g., Ontology-based Dynamic Decision Graphs for Expert systems and decision-aid tools; Application of methods and technologies of the remote sensing in Earth Sciences: from satellites to unmanned aerial vehicles; Information technologies for demonstration and popularization of scientific achievements in Earth Sciences; Applications: environmental risks including mining wastes, natural hazards, water resource management, etc.

Abstract: The geoportal is a mapping web site; it can be described as specialized software and technologies for spatial data processing. Geoportal's main task is to provide the user with the tools and services of storing and cataloguing, publications and download the spatial (geographic) data, search and filter by metadata, interactive web visualization, direct access to geodata based web mapping services. Geoportal developed in ICM SB RAS with appropriate set of its components and services, has become a GIS platform for creating a number of applied GIS web applications. The article deals with the experience of design and development of these systems.

Abstract: The semantic markups of the World Wide Web have accumulated a large amount of data and their number continues to grow. However, the potential of these data is, in our opinion, not fully utilized. The semantic markups contents are widely used by search systems, partly by social networks, but the usual approach to using that data by application developers is based on converting data to RDF standard and executing SPARQL queries, which requires good knowledge of this language and programming skills. In this paper, we propose to leverage the semantic markups available on the Web to automatically incorporate their contents to the content of other web pages. We also present a software tool for implementing such incorporation that does not require a web page developer to have knowledge of any programming languages ​​other than HTML and CSS. The developed tool does not require installation, the work is performed by JavaScript plugins. Currently, the tool supports semantic data contained in the popular types of semantic markups “microdata” and JSON-LD, in the tags of HTML documents and the properties of Word and PDF documents.

Abstract: Research on design and development of software and technological support for geo-portal of ICM SB RAS are discussed. Its main components and implementation details are presented. A number of problems are discussed in details, such as web-based metadata catalog, the logic of building applications based on web services geoportal. A list of implemented information systems, based on discussed technologies is presented. The authors were directly involved in the develop-ment and implementation of geoportal based projects. In developing the software many different software libraries and components were used. Web mapping user interface was created using a number of open source libraries. To create a server-side web application authors used GIS platforms MapGuide Open Source and Min-nesota Mapserver. GeoWebCache was another essential component of distributed web mapping ap-plications. By analyzing and summarizing the experience gained creating information systems, it should be noted that the use of geoportal-based solutions in this area, can dramatically improve the efficiency of software development and problems solving.

Abstract:

The work presents a digital platform for supercomputer modeling the problems of spraying the particles on substrates. The purpose of this work is to discuss the general architecture, technology stack and implementation features of the platform's user interface. The platform is based on web technologies for access and management of calculations, which allow implementing a user system for conducting a full cycle of a computational experiment, including the configuration of applied applications, their launch on remote computing resources, monitoring the completion of tasks, analysis and interactive visualization of results. User interaction with computing resources is implemented through the graphical interface that does not require the client computer to have any additional software, except actual version of a modern web browser. An important advantage of the platform is the ability to make large-scale computer research in a multi-user mode that is based on the natural principles of building client-server applications. The presented digital web platform was successfully tested on computing clusters of the KIAM RAS in solving a number of the topical mathematical problems of nanotechnology. Also, with its help, for the last 3 years, group training of MIPT students in modern information technologies has been carried out.

Abstract:

Today, users of mobile applications in different areas leave a huge amount of digital footprint. The main types of digital footprints are text, photos, videos, audio, and current location. To assist the teacher in horizontal learning, a mobile application that collects all of the above types of digital footprint was developed as well as web application that analyzes it.

Abstract:

This article discusses the impact of global interpreter blocking on the performance of multithreaded applications in Python. The concept of subinterpreters is described as one of the solutions that allows bypassing the limitations of the GIL and ensuring effective parallel code execution. A comparative analysis of subinterpretors with traditional methods of parallel computing, such as the use of processes and threads, is carried out. The experimental results show that subinterpreters significantly increase performance under conditions of high computing loads. In addition, the article explores the use of subinterpreters in web development. The advantages of using this approach for query processing and resource management in modern web applications are considered, which can significantly improve their scalability and responsiveness. The novelty of this work lies in the in-depth analysis of subinterpreters in the context of specific use cases, which has previously not received sufficient coverage in the scientific literature. The results of the work emphasize the need for further study of subinterpreters as an alternative approach in Python, which is of interest to developers and researchers in the field of high-performance computing.

Abstract:

In this paper, we describe a way to use UML diagrams for configuring web-application’s behavior. That is, using the configuration will determine the behavior of the system, the transitions between the screens, as well as the business logic of application. We examine and compare various UML diagrams for their possible features. A web framework for ASP.NET Core is developed, which uses the UML diagram to form a configuration in the XML or JSON file formats. Configuration will determine the behavior of the system. In addition, we describe further steps in using and developing the web-framework.

Abstract: In the present paper we consider applications of Semantic Web technologies to electronic scientific collections. We describe approaches based on XML, RDF and other technologies of Semantic Web to managing electronic collections, and, in particular, to generating metadata, organization of data storage, and data search. These approaches have been used in the project ``Scientific Electronic Library: eLibrary.ru'' and in the electronic l «Lobachevskii Journal of Mathematics» (http://ljm.ksu.ru).

Abstract:

In this paper, the authors propose the foundations of an original theory of quasi-reproducible experiments (QRE) based on the testable hypothesis that there exists an essential correlation (memory) between successive measurements. Based on this hypothesis, which the authors define for brevity as the verified partial correlation principle (VPCP), it can be proved that there exists a universal fitting function (UFF) for quasi-reproducible (QR) measurements. In other words, there is some common platform or "bridge" on which, figuratively speaking, a true theory (claiming to describe data from first principles or verifiable models) and an experiment offering this theory for verification measured data, maximally "cleaned" from the influence of uncontrollable factors and apparatus/software function, meet. Actually, the proposed theory gives a potential researcher the method of purification of initial data and finally suggests the curve that periodic and cleaned from a set of uncontrollable factors. The final curve corresponds to an ideal experiment.

The proposed theory has been tested on eddy covariance ecologic data related to the content of CH4, CO2 and water vapors of H2O in the local atmosphere where the corresponding detectors for measuring of the desired gases content are located.

For these tested eddy covariance data associated with the presence in atmosphere two gases CH4, CO2 and H2O vapors there is no simple hypothesis containing a minimal number of the fitting parameters, and, therefore, the fitting function that follows from this theory can serve as the only and reliable quantitative description of this kind of data belonging to the tested complex system. We should note also that the final fitting function removed from uncontrollable factors becomes pure periodic and corresponds to an ideal experiment. Applications of this theory to practical applications, the place of this theory among other alternative approaches, (especially touching the professional interests of ecologists) and its further development are discussed in the paper.

The paper examines the phenomenon of joint creativity of several authors, and provides examples from various fields of activity. The main attention is paid to information technologies: inventions made at the end of the 20th century are analyzed. Their authors are pairs of outstanding specialists who combined the talents of a programmer and a manager. They determined the further development of the IT industry and radically changed the quality of mankind’s way of life. The stories of the emergence of famous computers, operating systems, the World Wide Web, and network navigation tools are briefly described.

Abstract: Experience of designing different variants for web-based development environment (IDE) for Optimizing parallelizing system and compiler for reconfigurable architecture is described. Designed system is based on existing tools and frameworks such as Jupyter Notebook and Eclipse Che. Set of requirements for Optimizing parallelizing system components is developed to make it possible to integrate them into web-based development environment accessible through the Internet. Designing portable environment for compiler development, compiler technology demonstration and teaching parallel program development is also described. Examples of performing newly developed program transformations are shown to be used during program optimizations for FPGA inside the designed web environment. Means of program transformation visualization are described for use with Jupyter Notebook. The work shown demonstrates possibility to organize remote access to library of instruments and tools for program optimizations currently under development that would be convenient for application developers.

Abstract: Exponential size growth of such graphs as social networks, Internet graphs, etc. requires new approaches to their visualization. Along with node-link diagram representations, adjacency matrices and various hybrid representations are increasingly used for large graphs visualizations. This survey discusses new approaches to the visualization of large graphs using adjacency matrices and gives examples of applications where these approaches are used. We describe various types of patterns arising when adjacency matrices corresponding to modern networks are ordered, and algorithms making it possible to reveal these patterns. In particular, the use of matrix ordering methods in conjunction with algorithms looking for such graph patterns as stars, false stars, chains, near-cliques, full cliques, bipartite cores and near-bipartite cores enable users to create understandable visualizations of graphs with millions of vertices and edges. Examples of hybrid visualizations using node-link diagrams for representing sparse parts of a graph and adjacency matrices for representing dense parts are also given. The hybrid methods are used to visualize co-authorship networks, deep neural networks, to compare networks of the human brain connectivity, etc.

Abstract: In this paper developed model of information-computational system for conducting scientific research based on statistical processing and analysis of spatially distributed geophysical data obtained as results of observations and modeling is presented. Accumulated experience of developing information-computational web-systems providing computational processing and visualization of large archives of geo-referenced data was used during the implementation. Functional capabilities of the model comprise a set of procedures of mathematical and statistical analysis, processing and visualization of data, which allows optimizing of routine calculation tasks. As one of applications of the system being developed program modules for analysis of regional features of main climatic characteristics dynamics and interrelations as well as for graphical representation of results as plots, diagrams and 3-D fields layered on maps of corresponding territories by means of Web GIS technologies were implemented.

Abstract:

The development of an application based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of extension to other standards and injecting data to JSX files. Datasets were collected and prepared for training Machine Learning (ML) models. The ML model metrics were collected and analyzed.

Abstract: The main aim of this paper is to improve the effectiveness of information retrieval and working with metadata. Approaches to metadata standards are considered, as well as the implementation methods of search procedures in modern web environment. Various aspects for the organization of services of management by spatial metadata are considered. Model for direct usage of heterogeneous spatial information are presented.

Abstract:

In this article, we have described the technological cycle to develop the search system by 14 philosophical books by L.A. Seklitova, and L.L. Strelnikova. The cycle contained 6 steps of work. The ideas from the article may be useful to project, and develop a software, aggregating citations from books series, monographs, scientific periodicals, or scientific articles. For example, this experience may be useful for creating customized links on secondary sources that needs at a stage of writing scientific articles and design of presentations in Pedagogy. The search system is the result of 1 year work by the article author, and the group of around 30 volunteers. The system is represented a service, integrating in the web application. The technological stack contains Jade, CSS, JS, Node.js, Express.js, ESLint, Jest.

Abstract:

This article describes the development of a recommender system for selecting players based on machine learning. The system introduced the example of hockey with the possibility of expanding its use in various team sports. For each sport different roles and characteristics of the players were considered. The article analyzes information about hockey, football, basketball and volleyball. The characteristics of the players are structured and divided into general groups. For each parameter coefficients are displayed that show the impact on the result of the match. Various machine learning algorithms were used to build the model. The web interface of the application has been created.